Laura Viitanen

511 total citations
12 papers, 406 citations indexed

About

Laura Viitanen is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Laura Viitanen has authored 12 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Surgery, 5 papers in Endocrinology, Diabetes and Metabolism and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Laura Viitanen's work include Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Cardiovascular Function and Risk Factors (3 papers) and Lipoproteins and Cardiovascular Health (3 papers). Laura Viitanen is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Cardiovascular Function and Risk Factors (3 papers) and Lipoproteins and Cardiovascular Health (3 papers). Laura Viitanen collaborates with scholars based in Finland and United States. Laura Viitanen's co-authors include Anu Kareinen, Markku Laakso, Seppo Lehto, Ilkka Vauhkonen, Pirjo Halonen, Thomas Brettin, Elli Kempas, Heidi E. Lilja, Markus Perola and Ilpo Nuotio and has published in prestigious journals such as Diabetes Care, Free Radical Biology and Medicine and The American Journal of Human Genetics.

In The Last Decade

Laura Viitanen

12 papers receiving 392 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Laura Viitanen Finland 9 166 135 131 96 81 12 406
Anu Kareinen Finland 10 154 0.9× 134 1.0× 129 1.0× 88 0.9× 103 1.3× 13 398
Eric Boerwinkle United States 8 81 0.5× 175 1.3× 197 1.5× 129 1.3× 91 1.1× 10 502
Neslihan Çoban Türkiye 13 139 0.8× 98 0.7× 89 0.7× 61 0.6× 96 1.2× 37 404
S. Takami Japan 11 204 1.2× 186 1.4× 93 0.7× 56 0.6× 146 1.8× 12 513
Ling Jie Wang China 13 150 0.9× 133 1.0× 74 0.6× 47 0.5× 151 1.9× 16 554
G Capretti Italy 9 213 1.3× 105 0.8× 98 0.7× 58 0.6× 251 3.1× 24 590
Ka Wah Li United Kingdom 9 69 0.4× 95 0.7× 178 1.4× 149 1.6× 121 1.5× 11 511
Dilare Adi China 12 115 0.7× 85 0.6× 99 0.8× 52 0.5× 135 1.7× 46 416
Irmarie Chazaro United States 8 188 1.1× 68 0.5× 54 0.4× 178 1.9× 96 1.2× 10 468
Lorenzo Castello Italy 7 138 0.8× 106 0.8× 64 0.5× 50 0.5× 215 2.7× 19 504

Countries citing papers authored by Laura Viitanen

Since Specialization
Citations

This map shows the geographic impact of Laura Viitanen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Laura Viitanen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura Viitanen more than expected).

Fields of papers citing papers by Laura Viitanen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laura Viitanen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Laura Viitanen. The network helps show where Laura Viitanen may publish in the future.

Co-authorship network of co-authors of Laura Viitanen

This figure shows the co-authorship network connecting the top 25 collaborators of Laura Viitanen. A scholar is included among the top collaborators of Laura Viitanen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Laura Viitanen. Laura Viitanen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Luoma, Jukka, Anu Kareinen, Outi Närvänen, et al.. (2005). Autoantibodies against oxidized LDL are associated with severe chest pain attacks in patients with coronary heart disease. Free Radical Biology and Medicine. 39(12). 1660–1665. 8 indexed citations
2.
Pihlajamäki, Jussi, Pauli Karhapää, Ilkka Vauhkonen, et al.. (2003). The Leu7Pro polymorphism of the neuropeptide Y gene regulates free fatty acid metabolism. Metabolism. 52(5). 643–646. 14 indexed citations
3.
Pajunen, Pia, Mikko Syvänne, Markku S. Nieminen, et al.. (2002). Serum homocysteine, creatinine, and glucose as predictors of the severity and extent of coronary artery disease in asymptomatic members of high‐risk families. European Journal of Clinical Investigation. 32(7). 472–478. 11 indexed citations
4.
Simula, Sakari, Esko Vanninen, Laura Viitanen, et al.. (2002). Cardiac adrenergic innervation is affected in asymptomatic subjects with very early stage of coronary artery disease.. PubMed. 43(1). 1–7. 24 indexed citations
5.
Viitanen, Laura, Jussi Pihlajamäki, Raija Miettinen, et al.. (2001). Apolipoprotein E gene promoter (–219G/T) polymorphism is associated with premature coronary heart disease. Journal of Molecular Medicine. 79(12). 732–737. 43 indexed citations
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Kareinen, Anu, Laura Viitanen, Pirjo Halonen, Seppo Lehto, & Markku Laakso. (2001). Cardiovascular Risk Factors Associated With Insulin Resistance Cluster in Families With Early-Onset Coronary Heart Disease. Arteriosclerosis Thrombosis and Vascular Biology. 21(8). 1346–1352. 37 indexed citations
8.
Pajukanta, Päivi, Michele Cargill, Laura Viitanen, et al.. (2000). Two Loci on Chromosomes 2 and X for Premature Coronary Heart Disease Identified in Early- and Late-Settlement Populations of Finland. The American Journal of Human Genetics. 67(6). 1481–1493. 130 indexed citations
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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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